Shengwei Tian

119 papers and 1.5k indexed citations i.

About

Shengwei Tian is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shengwei Tian has authored 119 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 48 papers in Computer Vision and Pattern Recognition and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shengwei Tian’s work include Advanced Neural Network Applications (25 papers), AI in cancer detection (19 papers) and Medical Image Segmentation Techniques (15 papers). Shengwei Tian is often cited by papers focused on Advanced Neural Network Applications (25 papers), AI in cancer detection (19 papers) and Medical Image Segmentation Techniques (15 papers). Shengwei Tian collaborates with scholars based in China, United States and Hong Kong. Shengwei Tian's co-authors include Long Yu, Long Yu, Xin Ning, Xiao Bai, Liping Zhang, Weijun Li, Junlong Cheng, Weidong Wu, Xiang Ma and Xiaojing Kang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Shengwei Tian i

Fields of papers citing papers by Shengwei Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shengwei Tian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shengwei Tian. The network helps show where Shengwei Tian may publish in the future.

Countries citing papers authored by Shengwei Tian

Since Specialization
Citations

This map shows the geographic impact of Shengwei Tian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shengwei Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengwei Tian more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025